John Williamson

938 citations
9 papers · 633 · 1 hit paper · h-index 6

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies
    • Gaze Tracking and Assistive Technology

Papers in

John Williamson

9 papers receiving 618 citations

John Williamson's Hit Papers

EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy 2019 · 381 citations
3810+2+4Years since publication100200300

Peers

John Williamson
Comparison fields: 5 of 40
  • Cognitive Neuroscience 598
  • Human-Computer Interaction 147
  • Cellular and Molecular Neuroscience 291
  • Signal Processing 85
  • Electrical and Electronic Engineering 184
Replace Karl McCreadie with:
Karl McCreadie United Kingdom
Hohyun Cho South Korea
Soheil Borhani United States
François Cabestaing France
Víctor Martínez-Cagigal Spain
Natasha Padfield United Kingdom
Moonyoung Kwon South Korea
Ghadir Ali Altuwaijri Saudi Arabia
Na Lu China
John Williamson relative to Karl McCreadie United Kingdom Karl McCreadie's profile →
Citations per field
00.5×4.2×
Karl McCreadie · 1×
Citations per year

Countries citing papers authored by John Williamson

Since Specialization
Citations

This map shows the geographic impact of John Williamson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Williamson more than expected).

Fields of papers citing papers by John Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Williamson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Williamson. The network helps show where John Williamson may publish in the future.

Co-authors

The 16 scholars most cited alongside John Williamson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Williamson Line = papers co-authored together John Williamson links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
Hit paper breakdown →
2019381
2 2018120
3
The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-Spell
200674
4 201223
5 201915
6 201813
7 20194
8 20192
9 20171

About John Williamson

John Williamson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Human-Computer Interaction, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 9 papers that have together received 633 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Neuroscience and Neural Engineering (5 papers), Neural dynamics and brain function (5 papers), Gaze Tracking and Assistive Technology (3 papers), Neural and Behavioral Psychology Studies (3 papers), Functional Brain Connectivity Studies (1 paper) and ECG Monitoring and Analysis (1 paper). The work is most often cited by research in Cognitive Neuroscience (598 citations), Human-Computer Interaction (147 citations), Cellular and Molecular Neuroscience (291 citations), Signal Processing (85 citations) and Electrical and Electronic Engineering (184 citations). John Williamson has collaborated with scholars based in South Korea, Kazakhstan and Germany. Frequent co-authors include Seong‐Whan Lee, Min-Ho Lee, Siamac Fazli, Young-Eun Lee, Oyeon Kwon, Dong-Ok Won, Guido Dornhege, Matthias Krauledat, Roderick Murray‐Smith and Michael Schröder. Their work appears in journals such as Frontiers in Neuroscience, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Neuroreport, GigaScience and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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